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2025 - 2026 Catalog Year
Data Fundamentals (Part-time)

Degree: Short-term Certificate
Division: Business and Public Services

This Sample Program Pathway is designed to provide an example of course selections in a term by term sequence. Please see an Academic Advisor for a plan specific to your academic needs.

Fall Semester (First Year)
Hours
 

Description: Introduction to problem-solving techniques used in programming. Students learn to use tools such as flowcharts and pseudocode to plan solutions. Using the C++ programming language, students will design, code, and test programs using sequence, selection, iteration, functions, and arrays. REQUIRES WINDOWS PC OR APPLE MACINTOSH

Prerequisites: MAT 0200 or MAT 1120

Description: Introduction to database management systems. Discussion of database environments, design, planning, implementation and administration in a relational model environment. Students will design and develop a simple database and implement a portion of this application including forms, queries and reports. Emphasis on database design techniques, normalization and the SQL database language. REQUIRES WINDOWS PC

Prerequisites: MAT 0200 or MAT 1120

 

Term hours subtotal:

6

Spring Semester (First Year)
Hours
 

Description: This course introduces students to analyzing data using Python. The basics of Python will be taught. Students will learn how to obtain, cleanse and prepare data for analysis. Data analytic and statistical tools will be used to visualize data, predict outcomes and categorize data.

Prerequisites: MAT 0200

Description: Introduction to database management system in a client/server environment. The course covers Structured Query Language (SQL) and development and administrative tools. Students are taught to create and maintain database objects and to store, retrieve and manipulate data, and create blocks of application code that can be shared by multiple forms, reports, and data management applications.

Prerequisites: CIS 2165

 

Term hours subtotal:

6

Fall Semester (Second Year)
Hours
 

Notes: Fall Only

Description: An introductory course in data science for students interested in information technology, computer science, and related fields. Topics include curation of data; enhanced data visualization; statistical models, estimation, and prediction; and applications of data science.

Prerequisites: MAT 0300 and Other (with a grade of "C" or better)

 

Term hours subtotal:

8

Spring Semester (Second Year)
Hours
 

Notes: Spring Only

 

Term hours subtotal:

3

This information is for planning purposes only. Sinclair College will make every effort to offer curriculum listed above but reserves the right to change, add and cancel curriculum offerings for unforeseen circumstances. View current catalog.